Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Languages:
English
Tags:
audio
music-classification
meter-classification
multi-class-classification
multi-label-classification
License:
Update meter2800.py
Browse files- meter2800.py +4 -4
meter2800.py
CHANGED
@@ -10,7 +10,7 @@ _CITATION = """\
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title = {{Meter2800}: A Dataset for Music Time signature detection / Meter Classification},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/pianistprogrammer/
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}
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"""
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@@ -21,7 +21,7 @@ It is split into training, validation, and test sets, each available in two clas
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2-class and 4-class. All audio is 16-bit WAV format.
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"""
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_HOMEPAGE = "https://huggingface.co/datasets/pianistprogrammer/
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_LICENSE = "mit"
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LABELS_4 = ["three", "four", "five", "seven"]
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@@ -57,12 +57,12 @@ class Meter2800(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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csv_links = {
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split: f"https://huggingface.co/datasets/pianistprogrammer/
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for split in ["train", "val", "test"]
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}
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csv_files = dl_manager.download(csv_links)
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archive = dl_manager.download_and_extract(
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"https://huggingface.co/datasets/pianistprogrammer/
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)
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return [
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title = {{Meter2800}: A Dataset for Music Time signature detection / Meter Classification},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/pianistprogrammer/meter2800}
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}
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"""
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2-class and 4-class. All audio is 16-bit WAV format.
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"""
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+
_HOMEPAGE = "https://huggingface.co/datasets/pianistprogrammer/meter2800"
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_LICENSE = "mit"
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LABELS_4 = ["three", "four", "five", "seven"]
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def _split_generators(self, dl_manager):
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csv_links = {
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split: f"https://huggingface.co/datasets/pianistprogrammer/meter2800/resolve/main/data_{split}_{self.config.name}.csv"
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for split in ["train", "val", "test"]
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}
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csv_files = dl_manager.download(csv_links)
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archive = dl_manager.download_and_extract(
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"https://huggingface.co/datasets/pianistprogrammer/meter2800/resolve/main/data.tar.gz"
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)
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return [
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